Dissertations / Theses on the topic 'Mobile communication systems. Space time codes'
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Van, Wyk Daniel Jacobus. "Space-time turbo coding for CDMA mobile communications." Pretoria : [s.n.], 2000. http://upetd.up.ac.za/thesis/available/etd-01172007-112643/.
Full textChu, Li Electrical Engineering & Telecommunications Faculty of Engineering UNSW. "Space-time coded transmission schemes on wireless channels." Awarded by:University of New South Wales. Electrical Engineering & Telecommunications, 2007. http://handle.unsw.edu.au/1959.4/40880.
Full textLee, King F. "Space-time and space-frequency coded orthogonal frequency division multiplexing transmitter diversity techniques." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/14981.
Full textSobhanmanesh, Fariborz School of Electrical Engineering And Telecommunications UNSW. "Hardware implementation of V-BLAST MIMO." Awarded by:University of New South Wales. School of Electrical Engineering And Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/24198.
Full textLamahewa, Tharaka Anuradha. "Space-time coding and space-time channel modelling for wireless communications /." View thesis entry in Australian Digital Theses Program, 2006. http://thesis.anu.edu.au/public/adt-ANU20070816.152647/index.html.
Full textZhang, Zhi. "Error-rate evaluation and optimization for space-time codes." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39634218.
Full textZhang, Zhi, and 張治. "Error-rate evaluation and optimization for space-time codes." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39634218.
Full textOruç, Özgür Altınkaya Mustafa Aziz. "Differential and coherent detection schemes for space-time block codes/." [s.l.]: [s.n.], 2002. http://library.iyte.edu.tr/tezler/master/elektrikveelektronikmuh/T000133.pdf.
Full textZajic, Alenka. "Space-time channel modeling, simulation, and coding." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26569.
Full textCommittee Chair: Stuber,Gordon L.; Committee Member: Durgin, Gregory D.; Committee Member: Kim, Hyesoon; Committee Member: Li, Ye (Geoffrey); Committee Member: McLaughlin, Steven W.; Committee Member: Riley, George F.. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Shang, Yue. "Space-time code designs and fast decoding for MIMO and cooperative communication systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 180 p, 2009. http://proquest.umi.com/pqdweb?did=1654493811&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Full textSinnokrot, Mohanned Omar. "Space-time block codes with low maximum-likelihood decoding complexity." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31752.
Full textCommittee Chair: Barry, John; Committee Co-Chair: Madisetti, Vijay; Committee Member: Andrew, Alfred; Committee Member: Li, Ye; Committee Member: Ma, Xiaoli; Committee Member: Stuber, Gordon. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Fu, Shengli. "Space-time coding and decoding for MIMO wireless communication systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.57Mb, 156 p, 2005. http://wwwlib.umi.com/dissertations/fullcit?3182631.
Full textDing, Zhihong. "ARQ Techniques for MIMO Communication Systems." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1385.pdf.
Full textDai, Xiaoguang, and 戴晓光. "Receiver complexity reduction of multiple-input multiple-output wireless communication systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46589508.
Full textKim, Yongsub. "Estimation and equalization of time-selective fading channels." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/14925.
Full textAbaza, Mohamed. "Cooperative MIMO techniques for outdoor optical wireless communication systems." Thesis, Brest, 2015. http://www.theses.fr/2015BRES0073/document.
Full textFree-space optical (FSO) communication has been the subject of ongoing research activities and commercial attention in the past few years. Such attention is driven by the promise of high data rate, license-free operation, and cheap and ecological friendly means of communications alternative to congested radio frequency communications. In most previous work considering multiple transmitters, uncorrelated channel conditions have been considered. An uncorrelated channel requires sufficient spacing between transmitters. However, this can be difficult and may not be always feasible in some applications. Thereby, this thesis studies repetition codes (RCs) and orthogonal space-time block codes performance in correlated log-normal FSO channels using intensity modulation and direct detection (IM/DD). Furthermore, the effect of different weather conditions on the average bit error rate (ABER) performance of the FSO links is studied. Multiple-input multiple-output (MIMO) FSO communication systems using space shift keying (SSK) modulation have been also analyzed. Obtained results show that SSK is a potential technique for spectral efficiencies equal or greater than 4 bits/s/Hz as compared to RCs with multiple pulse amplitude modulations. The performance analysis of a multi-hop decode and forward relays for FSO communication system using IM/DD is also considered in this thesis. It is shown that multi-hop is an efficient technique to mitigate atmospheric turbulence and different weather attenuation effects and geometric losses in FSO communication systems. Our simulation results show that multiple-input single-output (MISO) multi-hop FSO systems are superior to direct link and MISO systems over links exhibiting high attenuation. Meeting the growing demand for higher data rates communication networks, a system with full-duplex (FD) relays is considered. For such a system, the outage probability and the ABER performance are analyzed under different turbulence conditions, misalignment error and path loss effects. FD relays are compared with the direct link and half-duplex relays. Obtained results show that FD relays have the lowest ABER and the outage probability as compared to the two other systems. Finally, the obtained results in this thesis are very promising towards the next generation of FSO systems
Baker, Dirk A. "Space-time block coding with imperfect channel estimates." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1843.
Full textTitle from document title page. Document formatted into pages; contains iv, 74 p. : ill. Includes abstract. Includes bibliographical references (p. 73-74).
Varadarajan, Badri. "The Design of Linear Space-Time Codes for Quasi-static Flat-fading Channels." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5030.
Full textChi, Zhanjiang. "Performance Analysis of Maximal-Ratio Combining and Space-Time Block Codes with Transmit Antenna Selection over Nakagami-m Fading Channels." School of Electrical and Information Engineering, 2007. http://hdl.handle.net/2123/2012.
Full textThe latest wireless communication techniques such as highspeed wireless internet application demand higher data rates and better quality of service (QoS). However, transmission reliability is still degraded by harsh propagation channels. Multiple-input multiple-output (MIMO) systems can increase the system capacity and improve transmission reliability. By transmitting multiple copies of data, a MIMO system can effectively combat the effects of fading. Due to the high hardware cost of a MIMO system, antenna selection techniques have been applied in MIMO system design to reduce the system complexity and cost. The Nakagami-m distribution has been considered for MIMO channel modeling since a wide range of fading channels, from severe to moderate, can be modeled by using Nakagami-m distribution. The Rayleigh distribution is a special case of the Nakagami-m distribution. In this thesis, we analyze the error performance of two MIMO schemes: maximal-ratio combining with transmit antenna selection (the TAS/MRC scheme) and space-time block codes with transmit antenna selection (the TAS/STBC scheme) over Nakagami-m fading channels. In the TAS/MRC scheme, one of multiple transmit antennas, which maximizes the total received signal-to-noise ratio (SNR), is selected for uncoded data transmission. First we use a moment generating function based (MGF-based) approach to derive the bit error rate (BER) expressions for binary phase shift keying (BPSK), the symbol error rate (SER) expressions for M-ray phase shift keying (MPSK) and M-ray quadrature amplitude modulation (MQAM) of the TAS/MRC scheme over Nakagami-m fading channels with arbitrary and integer fading parameters m. The asymptotic performance is also investigated. It is revealed that the asymptotic diversity order is equal to the product of the Nakagami fading parameter m, the number of transmit antenna Lt and the number of receive antenna Lr as if all transmit antenna were used. Then a Gaussian Q-functions approach is used to investigate the error performance of the TAS/STBC scheme over Nakagami-m fading channels. In the TAS/STBC scheme, two transmit antennas, which maximize the output SNR, are selected for transmission. The exact and asymptotic BER expressions for BPSK are obtained for the TAS/STBC schemes with three and four transmit antennas. It is shown that the TAS/STBC scheme can provide a full diversity order of mLtLr.
Maasdorp, Francois de Villiers. "Design and performance evaluation of a full rate, full diversity space-time-spreading code for an arbitrary number of Tx antennas." Pretoria : [s.n.], 2008. http://upetd.up.ac.za/thesis/available/etd-09182008-164047.
Full textJi, Hui. "Study and optimization of new differential space-time modulation schemes based on the Weyl group for the second generation of MIMO systems." Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0021/document.
Full textAt present, the study of multi-antenna systems MIMO (Multiple Input Multiple Output) is developed in many cases to intensively increase the number of base station antennas («massive MIMO», «largescale MIMO»), particularly in order to increase the transmission capacity, reduce energy consumed per bit transmitted, exploit the spatial dimension of the propagation channel, reduce the influence of fading, etc. For MIMO systems with narrowband or those using OFDM technique (Orthogonal Frequency Division Multiplex), the propagation channel (or the sub-channels corresponding to each sub-carrier of an OFDM system) are substantially flat (frequency non-selective). In this case the frequency response of each SISO channel is invariant with respect to frequency, but variant in time. Furthermore, the MIMO propagation channel can be characterized in baseband by a matrix whose coefficients are complex numbers. Coherent MIMO systems need to have the knowledge of the channel matrix to be able to demodulate the received signal. Therefore, periodic pilot should be transmitted and received to estimate the channel matrix in real time. The increase of the number of antennas and the change of the propagation channel over time, sometimes quite fast, makes the channel estimation quite difficult or impossible. It is therefore interesting to study differential MIMO systems that do not need to know the channel matrix. For proper operation of these systems, the only constraint is that the channel matrix varies slightly during the transmission of two successive information matrices. The subject of this thesis is the study and analysis of new differential MIMO systems. We consider systems with 2, 4 and 8 transmit antennas, but the method can be extended to MIMO systems with 2n transmit antennas, the number of receive antennas can be any positive integer. For MIMO systems with two transmit antennas that were studied in this thesis, information matrices are elements of the Weyl group. For systems with 2n (n ≥ 2) transmit antennas, the matrices used are obtained by performing the Kronecker product of the unitary matrices in Weyl group. For each number of transmit antennas, we first identify the number of available matrices and the maximum value of the spectral efficiency. For each value of the spectral efficiency, we then determine the best subsets of information matrix to use (depending on the spectrum of the distances or the diversity product criterion). Then we optimize the correspondence or mapping between binary vectors and matrices of information. Finally, the performance of differential MIMO systems are obtained by simulation and compared with those of existing similar systems. […]
Karaoglu, Bulent. "A comparison of frequency offset estimation methods in Orthogonal Frequency Division Multiplexing (OFDM) systems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FKaraoglu.pdf.
Full textThesis Advisor(s): Roberto Cristi, Murali Tummala. Includes bibliographical references (p. 45-46). Also available online.
Liu, Kejing. "Architectures for Symbol Timing Synchronization in MIMO Communications." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd484.pdf.
Full text"Novel self-decorrelation and fractional self-decorrelation pre-processing techniques to enhance the output SINR of single-user-type DS-CDMA detectors in blind space-time RAKE receivers." 2002. http://library.cuhk.edu.hk/record=b5891142.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2002.
Includes bibliographical references (leaves 80-83).
Abstracts in English and Chinese.
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- The Problem --- p.1
Chapter 1.2 --- Overview of CDMA --- p.2
Chapter 1.3 --- Problems Encountered in Direct-Sequence (DS)CDMA --- p.3
Chapter 1.3.1 --- Multipath Fading Scenario in DS-CDMA Cellular Mo- bile Communication --- p.3
Chapter 1.3.2 --- Near-Far Problem --- p.4
Chapter 1.4 --- Delimitation and Significance of the Thesis --- p.5
Chapter 1.5 --- Summary --- p.7
Chapter 1.6 --- Scope of the Thesis --- p.8
Chapter 2 --- Literature Review of Blind Space-Time Processing in a wire- less CDMA Receiver --- p.9
Chapter 2.1 --- General Background Information --- p.9
Chapter 2.1.1 --- Time Model of K-User Chip-Synchronous CDMA --- p.9
Chapter 2.1.2 --- Dispersive Channel Modelling --- p.10
Chapter 2.1.3 --- Combination of K-user CDMA Time Model with the Slow Frequency-Selective Fading Channel Model to form a completed Chip-Synchronous CDMA Time Model --- p.13
Chapter 2.1.4 --- Spatial Channel Model with Antenna Array [9] --- p.15
Chapter 2.1.5 --- Joint Space-Time Channel Model in Chip-Synchronous CDMA --- p.19
Chapter 2.1.6 --- Challenges to Blind Space-Time Processing in a base- station CDMA Receiver --- p.23
Chapter 2.2 --- Literature Review of Single-User-Type Detectors used in Blind Space-Time DS-CDMA RAKE Receivers --- p.25
Chapter 2.2.1 --- A Common Problem among the Signal Processing Schemes --- p.28
Chapter 3 --- "Novel ""Self-Decorrelation"" Technique" --- p.29
Chapter 3.1 --- "Problem with ""Blind"" Space-Time RAKE Processing Using Single- User-Type Detectors" --- p.29
Chapter 3.2 --- "Review of Zoltowski & Ramos[10,11,12] Maximum-SINR Single- User-Type CDMA Blind RAKE Receiver Schemes" --- p.31
Chapter 3.2.1 --- Space-Time Data Model --- p.31
Chapter 3.2.2 --- The Blind Element-Space-Only (ESO) RAKE Receiver with Self-Decorrelation Pre-processing Applied --- p.32
Chapter 3.3 --- Physical Meaning of Self-Decorrelation Pre-processing --- p.35
Chapter 3.4 --- Simulation Results --- p.38
Chapter 4 --- """Fractional Self-Decorrelation"" Pre-processing" --- p.45
Chapter 4.1 --- The Blind Maximum-SINR RAKE Receivers in Chen et. al.[l] and Wong et. al.[2] --- p.45
Chapter 4.2 --- Fractional Self-Decorrelation Pre-processing --- p.47
Chapter 4.3 --- The Blind Element-Space-Only (ESO) RAKE Receiver with Fractional Self-Decorrelation Pre-processing Applied --- p.50
Chapter 4.4 --- Physical Meaning of Fractional Self-Decorrelation Pre-processing --- p.54
Chapter 4.5 --- Simulation Results --- p.55
Chapter 5 --- Complexity Analysis and Schematics of Proposed Techniques --- p.64
Chapter 5.1 --- Computational Complexity --- p.64
Chapter 5.1.1 --- Self-Decorrelation Applied in Element-Space-Only (ESO) RAKE Receiver --- p.64
Chapter 5.1.2 --- Fractional Self-Decorrelation Applied in Element-Space- Only (ESO) RAKE Receiver --- p.67
Chapter 5.2 --- Schematics of the Two Proposed Techniques --- p.69
Chapter 6 --- Summary and Conclusion --- p.74
Chapter 6.1 --- Summary of the Thesis --- p.74
Chapter 6.1.1 --- The Self-Decorrelation Pre-processing Technique --- p.75
Chapter 6.1.2 --- The Fractional Self-Decorrelation Pre-processing Tech- nique --- p.76
Chapter 6.2 --- Conclusion --- p.78
Chapter 6.3 --- Future Work --- p.78
Bibliography --- p.80
Chapter A --- Generalized Eigenvalue Problem --- p.84
Chapter A.1 --- Standard Eigenvalue Problem --- p.84
Chapter A.2 --- Generalized Eigenvalue Problem --- p.84
Chow, William. "Concatenated space-time block codes and turbo codes with unstructured interference." 2004. http://hdl.handle.net/1828/452.
Full textTarasak, Poramate. "Improving performance of differential space-time block codes." 2004. http://hdl.handle.net/1828/359.
Full textFarooq, Mohammad Omar. "Performance of space-time trellis codes in fading channels." 2005. http://hdl.handle.net/1828/582.
Full textLin, Kuo-Wei, and 林國維. "Research on Multiuser Detection for Space-Time Coded MC-CDMA Mobie Communication Systems." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/29091996981867363122.
Full text大葉大學
電信工程學系碩士班
92
In this paper, we investigate the performance of multiuser detection in space-time coded multi-carrier code-division multiple-access (STC-MC-CDMA) mobile communication systems over frequency selective fading channels. The Alamouti’s space-time coding scheme that involves two transmit antennas is performed to investigate the transmit diversity for MC-CDMA systems. Using two transmit antennas and two receive antennas the scheme provides temporal diversity and spatial diversity. Simulation results show that the performance of minimum mean square error (MMSE) detectors is compared with orthogonality restoring combining (ORC), equal gain combining (EGC) and controlled equalization combining (CEC) detector is investigated. The performance of MMSE detector is much better than ORC, EGC, and CEC detectors with two antennas for both transmitter and receiver for STC-MC-CDMA systems. It is noted that a 10dB-gain can be achieved for the STC-MC-CDMA systems with two receive antennas comparing with the conventional single-transmit-antenna MC-CDMA systems.
Byers, Geoffrey James. "Concatenated space-time codes in Rayleigh fading channels." Thesis, 2002. http://hdl.handle.net/10413/4050.
Full textThesis (M.Sc.Eng.)-University of Natal, Durban, 2002.
Van, Wyk Daniel Jacobus. "Space-time turbo coding for CDMA mobile communications." Thesis, 2002. http://hdl.handle.net/2263/23597.
Full textThesis (DPhil (Electronic Engineering))--University of Pretoria, 2007.
Electrical, Electronic and Computer Engineering
unrestricted
Raj, Kumar K. "Construction Of High-Rate, Reliable Space-Time Codes." Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1413.
Full textAmirhossein, Shokouh Aghaei. "Widely-linear MMSE Receivers for Linear Dispersion Space-time Block-codes." Thesis, 2008. http://hdl.handle.net/1807/17224.
Full text"Distributed space-time block coding in wireless cooperative communications." 2005. http://library.cuhk.edu.hk/record=b5892631.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (leaves 90-93).
Abstracts in English and Chinese.
Abstract --- p.i
Acknowledgement --- p.iv
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Overview of Wireless Cooperative Communications --- p.1
Chapter 1.2 --- Motivation --- p.2
Chapter 1.3 --- Distributed Space-Time Block Coding --- p.4
Chapter 1.4 --- Imperfect Channel Estimation --- p.4
Chapter 1.5 --- Time-Varying Channels --- p.4
Chapter 1.6 --- Outline of the thesis --- p.5
Chapter 2 --- Background Study --- p.6
Chapter 3 --- Distributed Space-Time Block Coding --- p.13
Chapter 3.1 --- Introduction --- p.13
Chapter 3.2 --- System Model --- p.13
Chapter 3.3 --- BER Analysis by Characteristic Equations --- p.16
Chapter 3.4 --- BER Analysis by Error Terms --- p.18
Chapter 3.4.1 --- Non-fading R→D link --- p.19
Chapter 3.4.2 --- Fading R→D link --- p.19
Chapter 3.5 --- Performance --- p.20
Chapter 3.5.1 --- Accuracy of Analytical Expressions --- p.20
Chapter 3.5.2 --- Observation of Second-order Diversity --- p.21
Chapter 3.6 --- Summary --- p.22
Chapter 4 --- Distributed Space-Time Block Coding with Imperfect Channel Estimation --- p.31
Chapter 4.1 --- Introduction --- p.31
Chapter 4.2 --- System Model --- p.32
Chapter 4.3 --- BER Analysis --- p.32
Chapter 4.3.1 --- Non-fading R→D link --- p.33
Chapter 4.3.2 --- Fading R→D link --- p.34
Chapter 4.4 --- Numerical Results --- p.34
Chapter 4.5 --- Summary --- p.36
Chapter 5 --- Distributed Space-Time Block Coding with Time-Varying Channels --- p.43
Chapter 5.1 --- Introduction --- p.43
Chapter 5.2 --- System Model --- p.44
Chapter 5.3 --- Pilot Symbol Assisted Modulation (PSAM) for DSTBC --- p.45
Chapter 5.4 --- Reception Methods --- p.48
Chapter 5.4.1 --- Maximum-Likelihood Detection (ML) in [29] --- p.48
Chapter 5.4.2 --- Cooperative Maximum-Likelihood Detection (CML) --- p.50
Chapter 5.4.3 --- Alamouti's Receiver (AR) --- p.51
Chapter 5.4.4 --- Zero-forcing Linear Detection (ZF) --- p.51
Chapter 5.4.5 --- Decision-feedback Detection (DF) --- p.52
Chapter 5.5 --- BER Analysis for Time-varying Channels --- p.53
Chapter 5.5.1 --- Quasi-Static Channels (p = 1) --- p.53
Chapter 5.5.2 --- ZF: Uncorrelated Channel (p = 0) --- p.54
Chapter 5.5.3 --- ZF: General Channel --- p.55
Chapter 5.5.4 --- DF: General Channel --- p.56
Chapter 5.6 --- Numerical Results --- p.57
Chapter 5.7 --- Summary --- p.60
Chapter 6 --- Conclusion and Future Work --- p.74
Chapter 6.1 --- Conclusion --- p.74
Chapter 6.2 --- Future Work --- p.76
Chapter 6.2.1 --- Design of Code Matrix --- p.76
Chapter 6.2.2 --- Adaptive Protocols --- p.77
Chapter A --- Derivation of (3.23) --- p.79
Chapter B --- Derivation of (3.30) and (3.32) --- p.83
Chapter C --- Derivation of (4.9) and (4.13) --- p.85
Chapter D --- Derivation of (5.68) --- p.88
Bibliography --- p.90
Zhang, Hao. "Capacity and error probability analysis for space time block codes and pulse position amplitude modulation ultra wideband communication systems." 2004. http://hdl.handle.net/1828/370.
Full text"The study on the space time block coding and its application in wireless communications." 2004. http://library.cuhk.edu.hk/record=b6073663.
Full text"September 2004."
Thesis (Ph.D.)--Chinese University of Hong Kong, 2004.
Includes bibliographical references (p. 113-119).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Mode of access: World Wide Web.
Abstracts in English and Chinese.
Natarajan, Lakshmi Prasad. "Low-Complexity Decoding and Construction of Space-Time Block Codes." Thesis, 2013. http://etd.iisc.ernet.in/2005/3372.
Full textLee, Hoo-jin 1973. "Wireless systems incorporating full-diversity single-symbol decodable space-time block codes: performance evaluations and developments." Thesis, 2007. http://hdl.handle.net/2152/3735.
Full textKiran, T. "Coding For Multi-Antenna Wireless Systems And Wireless Relay Networks." Thesis, 2006. http://hdl.handle.net/2005/399.
Full textJithamithra, G. R. "Space-Time Block Codes With Low Sphere-Decoding Complexity." Thesis, 2013. http://etd.iisc.ernet.in/handle/2005/2612.
Full textAmani, Kikongo Elie. "Development and implementation of highly parallel algorithms for decoding perfect space-time block codes." 2012. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000209.
Full textApplies conditional optimisation to ML decoding of perfect STBCs, it is hypothesised that the obtained algorithms have reduced complexity and exhibit high DLP and TLP that can be exploited to map them on low-power multi-core SIMD processors, and possibly to reduce their runtimes and allow their real-time execution in a 4G wireless system.
Rajan, G. Susinder. "Low Decoding Complexity Space-Time Block Codes For Point To Point MIMO Systems And Relay Networks." Thesis, 2008. http://hdl.handle.net/2005/742.
Full textChurms, Duane. "Comparison of code rate and transmit diversity in MIMO systems." Thesis, 2016. http://hdl.handle.net/10539/21155.
Full textIn order to compare low rate error correcting codes to MIMO schemes with transmit diversity, two systems with the same throughput are compared. A VBLAST MIMO system with (15; 5) Reed-Solomon coding is compared to an Alamouti MIMO system with (15; 10) Reed-Solomon coding. The latter is found to perform signi cantly better, indicating that transmit diversity is a more e ective technique for minimising errors than reducing the code rate. The Guruswami-Sudan/Koetter-Vardy soft decision decoding algorithm was implemented to allow decoding beyond the conventional error correcting bound of RS codes and VBLAST was adapted to provide reliability information. Analysis is also performed to nd the optimal code rate when using various MIMO systems.
MT2016
Bhavani, Shankar M. R. "Design Of Linear Precoded MIMO Communication Systems." Thesis, 2007. http://hdl.handle.net/2005/558.
Full textKambale, Witesyavwirwa Vianney. "Development of an optimisation approach to Alamouti 4×2 space time block coding firmware." 2014. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001707.
Full textDiscusses MIMO systems have been hailed for the benefits of enhancing the reliability of the wireless communication link and increasing of the channel capacity, however the complexity of MIMO encoding and decoding algorithms increases considerably with the number of antennas. This research aims to suggest an optimisation approach to a reduced complexity implementation of the Alamouti 4×2 STBC. This is achieved by considering the FPGA parallelisation of the conditionally optimised ML decoding algorithm. The above problem can be divided into two subproblems. 1. The ML decoding of the Double Alamouti 4×2 STBC has a high computational cost when an exhaustive search is performed on the signal constellation for M-ary QAM. 2. Though the conditionally optimised ML decoding leads to less computational complexity compared to the full generic ML detection algorithm, the practical implementation remains unattractive for wireless systems.
Gor, Leon. "Complexity reduction in multiple input multiple output algorithms." 2007. http://eprints.vu.edu.au/1409/1/gor.pdf.
Full textPawar, Sameer A. "Achieving The Optimal Diversity-Multiplexing Gain Tradeoff For MIMO Channels With And Without Feedback." Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1410.
Full text